I am a 3rd-year graduate student at the Paul G. Allen School of Computer Science and Engineering at the University of Washington. I am advised by Luke Zettlemoyer and I am a member of UW NLP.
My research is on formal semantics of natural language — in particular, how to design, annotate, and model semantics in a scalable, data-driven way while taking advantage of our understanding of linguistic structure. I have worked on approaches to crowdsourcing annotation for syntactic parsing, semantic role labeling, and predicate-argument structure.
You can find me on Github or email: julianjm (at) cs.washington.edu.
Large-Scale QA-SRL Parsing
Nicholas Fitzgerald, Julian Michael, Luheng He, and Luke Zettlemoyer
Supervised Open Information Extraction
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, and Ido Dagan
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman
ArXiv preprint, Apr 2018
The Theory of Correlation Formulas and their Application to Discourse Coherence
Undergraduate Honors Thesis, UT Austin, 2015
S2 PDF Bib
The Winograd Schema Challenge and Reasoning about Correlation
Daniel Bailey, Amelia Harrison, Yuliya Lierler, Vladimir Lifschitz, and Julian Michael
S2 PDF Bib